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The heatmap is also helpful in recognizing patterns in the data.
Deep learning helps train large neural networks to recognize patterns in the data and be able to analyze data in a variety of forms such as audio, images, and text.
The extracted color and flavor features are analyzed in a computer using multivariate data analysis to recognize patterns in the data.
Google was using NVIDIA GPUs for training the underlying neural networks that allow machines to recognize patterns in the data and using x86 CPUs to then execute the queries across the neural network, called inferencing.
Principal Component Analysis was used to reduce the dimensionality of the dataset without a significant loss of information to better recognize patterns in the data (Jolliffe 1986).
System one is associative; it recognizes patterns in the world.
These researchers also showed how neural networks could be used to do various things, from recognizing patterns in visual data to learning the past tense of English verbs.
One way to foster creativity is through recognizing patterns in what we observe.
Clearly the brain is capable of more than just recognizing patterns in large amounts of data: it has a way to acquire deeper abstractions from relatively little data.
The method is based on hidden Markov models (HMMs) which are probabilistic models that can be used to recognize patterns in time series data.
PCA [29] is used to recognize patterns in data of high dimension.
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